Context is the moat for workplace AI

A generic model can write a polished message. It can't know that your team ships behind a feature flag, that 'INC' means a Linear incident, or that Maya owns billing.

Context is what turns a clever model into a useful teammate. We ground every agent in your docs, your channel history, and your conventions — refreshed continuously as your company changes.

Crucially, context flows both ways. As agents take action, they record what they did and why, building a shared memory the whole team can rely on.